2013
DOI: 10.1016/j.endm.2013.05.125
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The final answer to the complexity of a basic problem in resilient network design

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Cited by 4 publications
(5 citation statements)
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“…For instance let us consider RR: taking a = 0 implies that flow thinning is not allowed, while b → ∞ means that new rerouting paths can be created in practice; this is because the flow on some paths can be enlarged at any finite value starting from practically insignificant flow values. All these special cases have different levels of complexity for the single link failure case: GR and PD fall into the polynomial time complexity class [2], while RR is shown to be N P-hard for both the directed [9,18] and undirected [20] cases. The observation suggests that both problems will exhibit the same N P complexity.…”
Section: Complexity Discussionmentioning
confidence: 99%
“…For instance let us consider RR: taking a = 0 implies that flow thinning is not allowed, while b → ∞ means that new rerouting paths can be created in practice; this is because the flow on some paths can be enlarged at any finite value starting from practically insignificant flow values. All these special cases have different levels of complexity for the single link failure case: GR and PD fall into the polynomial time complexity class [2], while RR is shown to be N P-hard for both the directed [9,18] and undirected [20] cases. The observation suggests that both problems will exhibit the same N P complexity.…”
Section: Complexity Discussionmentioning
confidence: 99%
“…When the number of failing links is not bounded by a constant k and grows with the size of the graph, as for example, for the full single links failure scenario (recall that this means that all links in \documentclass{article}\usepackage{mathrsfs}\usepackage{amsmath}\pagestyle{empty}\begin{document}\begin{align*}\mathcal{E}\end{align*} \end{document} can fail, one at a time), then the approach to FR described above becomes exponential. But this could be expected as we know from a recent result of [22] that FR becomes \documentclass{article}\usepackage{mathrsfs}\usepackage{amsmath}\pagestyle{empty}\begin{document}\begin{align*}\mathcal{NP}\end{align*} \end{document} ‐hard (already for one demand) when the number of failing links in a single links failure scenario is not bounded by a constant.…”
Section: Complexity Of Variants Of Frmentioning
confidence: 99%
“…So in acyclic graphs, RFR is also polynomial for a bounded number of the single link failures. But RFR is \documentclass{article}\usepackage{mathrsfs}\usepackage{amsmath}\pagestyle{empty}\begin{document}\begin{align*}\mathcal{NP}\end{align*} \end{document} ‐hard when the number of failing links in a single links failure scenario is not bounded because the proof of [22] works for both acyclic and nonacyclic graphs.…”
Section: Complexity Of Variants Of Frmentioning
confidence: 99%
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